Publications

2024

Bebelman, M. P.; Belicova, L.; Gralinska, E.; Jumel , T.; Lahree, A.; Sommer, S.; Shevchenko, A.; Zatsepin, T.; Kalaidzidis, Y.; Vingron, M. et al.; Zerial, M.: Hepatocyte differentiation requires anisotropic expansion of bile canaliculi. Development 151 (22), Article dev202777 (2024)

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Schindler, M.; Feregrino, C.; Aldrovandi, S.; Lo, B.-W.; Monaco, A. A.; Ringel, A. R.; Morales, A.; Zehnder, T.; Behncke, R. Y.; Glaser, J. et al.; Barclay, A.; Andrey, G.; Kragesteen, B. K.; Hägerling, R.; Haas, S.; Vingron, M.; Ulitsky, I.; Marti-Renom, M.; Hechavarria, J.; Fasel, P.; Hiller, M.; Lupiáñez, D.; Mundlos, S.; Real, F. M.: Comparative single-cell analyses reveal evolutionary repurposing of a conserved gene program in bat wing development. bioRxiv: the preprint server for biology (2024)

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Henglin, M.; Ghareghani, M.; Harvey, W. T.; Porubsky, D.; Koren, S.; Eichler, E. E.; Ebert, P.; Marschall, T.: Graphasing: phasing diploid genome assembly graphs with single-cell strand sequencing. Genome Biology: Biology for the Post-Genomic Era 25 (1), Article 265 (2024)

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Schwaemmle, T.; Noviello, G.; Kanata, E.; Froehlich, J. J.; Bothe, M.; Altay, A.; Scouarnec, J.; Feng, V.-Y.; Vingron, M.; Schulz, E. G.: Reporter CRISPR screens decipher cis- and trans-regulatory principles at the Xist locus. bioRxiv (2024)

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Altay, A.; Vingron, M.: scATAcat: cell-type annotation for scATAC-seq data. NAR: genomics and bioinformatics 6 (4), Article lqae135 (2024)

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Stötzel, M.; Cheng, C.-Y.; Ilik, I. A.; Sampath Kumar, A.; Akbari-Omgba, P.; van der Weijden, V. A.; Zhang, Y.; Vingron, M.; Meissner, A.; Aktas, T. et al.; Kretzmer, H.; Bulut-Karslioglu, A.: TET activity safeguards pluripotency throughout embryonic dormancy. Nature Structural & Molecular Biology 31 (10), pp. 1625 - 1639 (2024)

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Glaser, J.; Cova, G.; Fauler, B.; Prada-Medina, C. A.; Stanislas, V.; Phan, M. H. Q.; Schöpflin, R.; Aktas, Y.; Franke, M.; Andrey, G. et al.; Paliou, C.; Laupert, V.; Chan, W.-L.; Wittler, L.; Mielke, T.; Mundlos, S.: Enhancer adoption by an LTR retrotransposon generates viral-like particles causing developmental limb phenotypes. bioRxiv (2024)

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Naderi, J.; Magalhães, A. P.; Kibar, G.; Stik, G.; Zhang, Y.; Mackowiak, S.; Wieler, H. M.; Rossi, F.; Buschow, R.; Christou-Kent, M. et al.; Alcoverro-Bertran, M.; Graf, T.; Vingron, M.; Hnisz, D.: An activity-specificity trade-off encoded in human transcription factors. Nature Cell Biology 26 (8), pp. 1309 - 1321 (2024)

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Zhao, Y.: Correspondence analysis based biclustering and joint visualization of cells and genes for single cell transcriptomic data. Dissertation (2024)

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Thedinga, K.: Machine Learning for Cancer Survival Prediction. Dissertation (2024)

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Wang, G.: Copy number variation characterization using nanopore sequencing. Dissertation (2024)

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Zhao, Y.; Kohl, C.; Rosebrock, D.; Hu, Q.; Hu, Y.; Vingron, M.: CAbiNet: joint clustering and visualization of cells and genes for single-cell transcriptomics. Nucleic Acids Research 52 (13), Article e57 (2024)

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Rosebrock, D.; Vingron, M.; Arndt, P. F.: Modeling gene expression cascades during cell state transitions. iScience 27 (4), Article 109386 (2024)

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Phan, M. H. Q.; Zehnder, T.; Puntieri, F.; Lo, B.-W.; Lenhard, B.; Mueller, F.; Vingron, M.; Ibrahim, D. M.: Conservation of Regulatory Elements with Highly Diverged Sequences Across Large Evolutionary Distances. bioRxiv (2024)

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Kibar, G.: Exploring feature identification and machine learning in predicting protein-protein interactions of disordered proteins. Dissertation (2024)

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Yan, M.; Li, M.; Wang, Y.; Wang, X.; Moeinzadeh, H.-M.; Quispe-Huamanquispe, D. G.; Fan, W.; Fang, Y.; Wang, Y.; Nie, H. et al.; Wang, Z.; Tanaka, A.; Heider, B.; Kreuze, J. F.; Gheysen, G.; Wang, H.; Vingron, M.; Bock, R.; Yang, J.: Haplotype-based phylogenetic analysis and population genomics uncover the origin and domestication of sweetpotato. Molecular Plant 17 (2), pp. 277 - 296 (2024)

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van der Weijden, V. A.; Stötzel, M.; Iyer, D. P.; Fauler, B.; Gralinska, E.; Shahraz, M.; Meierhofer, D.; Vingron, M.; Rulands, S.; Alexandrov, T. et al.; Mielke, T.; Bulut-Karslioglu, A.: FOXO1-mediated lipid metabolism maintains mammalian embryos in dormancy. Nature Cell Biology 26 (2), pp. 181 - 193 (2024)

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Hübner, P.: Association Plots – A Method to Detect Tissue-Specific Regulatory Patterns? Master (2024)

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Kane, M.: Mathematical Modeling of High-Risk Viral Mutations. Master (2024)

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Lopez Ruiz de Vargas, S.: Adding 3D chromatin structure information to enhancer- target prediction with CENTRE. Master (2024)

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Raei, W. A.: Genotyping tandem repeats: Introducing Tandem Twister, a rapid and universal tool for long-read sequencing technologies. Master (2024)

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2023

Rapakoulia, T.; Lopez Ruiz de Vargas, S.; Akbari-Omgba, P.; Laupert, V.; Ulitsky, I.; Vingron, M.: CENTRE: a gradient boosting algorithm for Cell-type-specific ENhancer-Target pREdiction. Bioinformatics 39 (11), btad687 (2023)

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Jatzlau, J.; Mendez, P.-L.; Altay, A.; Raaz, L.; Zhang, Y.; Mähr, S.; Sesver, A.; Reichenbach, M.; Mundlos, S.; Vingron, M. et al.; Knaus, P.: Fluid shear stress-modulated chromatin accessibility reveals the mechano-dependency of endothelial SMAD1/5-mediated gene transcription. iScience 26 (9), 107405 (2023)

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Gralinska, E.; Vingron, M.: Association Plots: visualizing cluster-specific associations in high-dimensional correspondence analysis biplots. Journal of the Royal Statistical Society - Series C: Applied Statistics 72 (4), pp. 1023 - 1040 (2023)

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Lienhard, M.; van den Beucken , T.; Timmermann, B.; Hochradel, M.; Boerno, S.; Caiment , F.; Vingron, M.; Herwig, R.: IsoTools: a flexible workflow for long-read transcriptome sequencing analysis. Bioinformatics 39 (6), btad364 (2023)

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Mehringer, S.; Seiler, E.; Droop, F.; Darvish, M.; Rahn, R.; Vingron, M.; Reinert, K.: Hierarchical Interleaved Bloom Filter: enabling ultrafast, approximate sequence queries. Genome Biology: Biology for the Post-Genomic Era 24 (1), 131 (2023)

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Rosebrock, D.: Dissecting regional heterogeneity and modeling transcriptional cascades in brain organoids. Dissertation, vii, 129 pp. (2023)

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De Maio, N.; Kalaghatgi, P.; Turakhia, Y.; Corbett-Detig, R.; Quang Minh, B.; Goldman, N.: Maximum likelihood pandemic-scale phylogenetics. Nature Genetics 55 (5), pp. 746 - 752 (2023)

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Melo, U. S.; Jatzlau, J.; Prada-Medina, C. A.; Flex, E.; Hartmann, S.; Ali, S.; Schöpflin, R.; Bernardini, L.; Ciolfi, A.; Moeinzadeh, H. et al.; Klever, M.-K.; Altay, A.; Vallecillo-García, P.; Carpentieri, G.; Delledonne, M.; Ort, M.-J.; Schwestka, M.; Battista Ferrero, G.; Tartaglia, M.; Brusco, A.; Gossen, M.; Strunk, D.; Geißler, S.; Mundlos, S.; Stricker, S.; Knaus, P.; Giorgio, E.; Spielmann, M.: Enhancer hijacking at the ARHGAP36 locus is associated with connective tissue to bone transformation. Nature Communications 14 (1), 2034 (2023)

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Bressin, A. S.: A Multi-Omics Analysis of Transcription Control by BRD4. Dissertation, ix, 205 pp. (2023)

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Kibar, G.; Vingron, M.: Prediction of protein–protein interactions using sequences ofintrinsically disordered regions. Proteins: Structure, Function, and Bioinformatics 91 (7), pp. 980 - 990 (2023)

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Raschka , T.; Sood , M.; Schultz, B.; Altay, A.; Ebeling, C.; Fröhlich, H.: AI reveals insights into link between CD33 and cognitive impairment in Alzheimer’s Disease. PLOS Computational Biology 19 (2), e1009894 (2023)

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Schindler, M.; Osterwalder, M.; Harabula, I.; Wittler, L.; Tzika, A. C.; Dechmann, D. K. N.; Vingron, M.; Visel, A.; Haas, S.; Real, F. M.: Induction of kidney-related gene programs through co-option of SALL1 in mole ovotestes. Development 150 (17), dev201562 (2023)

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2022

Klimm, F.; Jones, N. S.; Schaub, M. T.: Modularity Maximization for Graphons. SIAM Journal on Applied Mathematics 82 (6), pp. 1930 - 1952 (2022)

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Klimm, F.: Quantifying the 'end of history' through a Bayesian Markov-chain approach. Royal Society Open Science 9 (11), 221131 (2022)

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Ly, L.-H.: Deciphering cellular heterogeneity by single-cell transcriptome analysis. Dissertation, xiii, 131 pp. (2022)

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Kleinert, P.: Computational interpretation of disease-causing, structural, and non-coding human genetic variants. Dissertation, 118 pp. (2022)

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Gajos, M.: Analysis of the determinants of Pol II pausing. Dissertation, vi, 125 pp. (2022)

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Schöpflin, R.; Melo, U. S.; Moeinzadeh, M. H.; Heller, D.; Laupert, V.; Hertzberg, J.; Holtgrewe, M.; Alavi, N.; Klever, M.-K.; Jungnitsch, J. et al.; Comak, E.; Türkmen, S.; Horn, D.; Duffourd, Y.; Faivre, L.; Callier, P.; Sanlaville, D.; Zuffardi, O.; Tenconi, R.; Kurtas, N. E.; Giglio, S.; Prager, B.; Latos-Bielenska, A.; Vogel, I.; Bugge, M.; Tommerup, N.; Spielmann, M.; Vitobello, A.; Kalscheuer, V. M.; Vingron, M.; Mundlos, S.: Integration of Hi-C with short and long-read genome sequencing reveals the structure of germline rearranged genomes. Nature Communications 13 (1), 6470 (2022)

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Schindler, M.; Osterwalder, M.; Harabula, I.; Wittler, L.; Tzika, A. C.; Dechmann, D.; Vingron, M.; Visel, A.; Haas, S.; Real, F. M.: Co-option of the transcription factor SALL1 in mole ovotestis formation. bioRxiv, 514220 (2022)

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Ringel, A.; Szabo, Q.; Chiariello, A. M.; Chudzik, K.; Schöpflin, R.; Rothe, P.; Mattei, A. L.; Zehnder, T.; Harnett, D.; Laupert, V. et al.; Bianco, S.; Hetzel, S.; Glaser, J.; Phan, M. H. Q.; Schindler, M.; Ibrahim, D. M.; Paliou, C.; Esposito, A.; Prada-Medina, C. A.; Haas, S. A.; Giere, P.; Vingron, M.; Wittler, L.; Meissner, A.; Nicodemi, M.; Cavalli, G.; Bantignies, F.; Mundlos, S.; Robson, M. I.: Repression and 3D-restructuring resolves regulatory conflicts in evolutionarily rearranged genomes. Cell 185 (20), pp. 3689 - 3704 (2022)

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Abdullaev, E.: Dynamical Aspects of the Evolution of Segmental Duplications in the Human Genome. Dissertation, xiii, 129 pp. (2022)

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Gralinska, E.: Association Plots visualize cluster-specific genes from high-dimensional transcriptomics data. Dissertation, vi, 108 pp. (2022)

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Pevzner, P.; Vingron, M.; Reidys, C.; Sun, F.; Istrail, S.: Michael Waterman's Contributions to Computational Biology and Bioinformatics. Journal of Computational Biology 29 (7), pp. 601 - 615 (2022)

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Klimm, F.: Topological data analysis of truncated contagion maps. Chaos 32 (7), Article 073108 (2022)

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Baranasic, D.; Hörtenhuber, M.; Balwierz, P.; Zehnder, T.; Mukarram, A. K.; Nepal, C.; Varnai, C.; Hadzhiev, Y.; Jimenez- Gonzalez, A.; Li, N. et al.; Wragg, J.; D’Orazio, F.; Díaz, N.; Hernández- Rodríguez, B.; Chen, Z.; Stoiber, M.; Dong, M.; Stevens, I.; Ross, S. E.; Eagle, A.; Martin, R.; Obasaju, P.; Rastegar, S.; McGarvey, A. C.; Kopp, W.; Chambers, E.; Wang, D.; Kim, H. R.; Acemel, R. D.; Naranjo, S.; Lapinski, M.; Chong, V.; Mathavan, S.; Peers, B.; Sauka-Spengler, T.; Vingron, M.; Carninci, P.; Ohler, U.; Lacadie, S. A.; Burgess, S.; Winata, C.; van Eeden, F.; Vaquerizas, J. M.; Gómez-Skarmeta, J. L.; Onichtchouk, D.; Brown, B. J.; Bogdanovic, O.; Westerfield, M.; Wardle, F. C.; Daub, C. O.; Lenhard, B.; Müller, F.: Multiomic atlas with functional stratification and developmental dynamics of zebrafish cis-regulatory elements. Nature Genetics 54 (7), pp. 1037 - 1050 (2022)

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Rosebrock, D.; Arora, S.; Mutukula, N.; Volkman, R.; Gralinska, E.; Balaskas, A.; Aragonés Hernández, A.; Buschow, R.; Brändl, B.; Müller, F.-J. et al.; Arndt, P. F.; Vingron, M.; Elkabetz, Y.: Enhanced cortical neural stem cell identity through short SMAD and WNT inhibition in human cerebral organoids facilitates emergence of outer radial glial cells. Nature Cell Biology 24 (6), pp. 981 - 995 (2022)

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Li, Y.; Chen, S.; Rapakoulia, T.; Kuwahara, H.; Yip, K. Y.; Gao, X.: Deep learning identifies and quantifies recombination hotspot determinants. Bioinformatics 38 (10), pp. 2683 - 2691 (2022)

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supplementary-material

Gralinska, E.; Kohl, C.; Fadakar, S.; Vingron, M.: Visualizing Cluster-specific Genes from Single-cell Transcriptomics Data Using Association Plots. Journal of Molecular Biology 434 (11), 167525 (2022)

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Hertzberg, J.; Mundlos, S.; Vingron, M.; Gallone, G.: TADA – a Machine Learning Tool for Functional Annotation based Prioritisation of Putative Pathogenic CNVs. Genome Biology 23 (1), 67 (2022)

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Alavi, N.: An Unsupervised Learning Approach For Understanding Biases In Structural Variant Detection. Master (2022)

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2021

Ly, L.-H.; Vingron, M.: Effect of imputation on gene network reconstruction from single-cell RNA-seq data. Patterns 3 (2), 100414 (2021)

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Glaser, L. V.; Steiger, M.; Fuchs, A.; van Bömmel, A.; Einfeldt, E.; Chung, H.-R.; Vingron, M.; Meijsing, S. H.: Assessing genome-wide dynamic changes in enhancer activity during early mESC differentiation by FAIRE-STARR-seq. Nucleic Acids Research (London) 49 (21), pp. 12178 - 12195 (2021)

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Enervald, E.; Powell, L. M.; Boteva, L.; Foti, R.; Ruiz, N. B.; Kibar, G.; Piszczek, A.; Cavaleri, F.; Vingron, M.; Cerase, A. et al.; Buonomo, S. B. C.: RIF1 and KAP1 differentially regulate the choice of inactive versus active X chromosomes. The EMBO Journal 40 (24), e105862 (2021)

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Benner, P.; Vingron, M.: Quantifying the tissue-specific regulatory information within enhancer DNA sequences. NAR: genomics and bioinformatics 3 (4), lqab095 (2021)

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Socha, M.; Sowińska-Seidler, A.; Melo, U. S.; Kragesteen, B. K.; Franke, M.; Heinrich, V.; Schöpflin, R.; Nagel, I.; Gruchy, N.; Mundlos, S. et al.; Sreenivasan, V. K. A.; López, C.; Vingron, M.; Bukowska-Olech, E.; Spielmann, M.; Jamsheer, A.: Position effects at the FGF8 locus are associated with femoral hypoplasia. The American Journal of Human Genetics 108 (9), pp. 1725 - 1734 (2021)

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Belicova , L.; Repnik , U.; Delpierre , J.; Gralinska, E.; Seifert , S.; Valenzuela , J. I.; Morales-Navarrete , H. A.; Franke , C.; Räägel , H.; Shcherbinina , E. et al.; Prikazchikova , T.; Koteliansky , V.; Vingron, M.; Kalaidzidis , Y. L.; Zatsepin , T.; Zerial , M.: Anisotropic expansion of hepatocyte lumina enforced by apical bulkheads. The Journal of Cell Biology: JCB 220 (10), e202103003 (2021)

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Witte, F.; Ruiz-Orera, J.; Ciolli Mattioli, C.; Blachut, S.; Adami, E.; Schulz, J. F.; Schneider-Lunitz, V.; Hummel, O.; Patone, G.; Mücke, M. B. et al.; Šilhavý, J.; Heinig, M.; Bottolo, L.; Sanchis, D.; Vingron, M.; Chekulaeva, M.; Pravenec, M.; Hubner, N.; van Heesch, S.: A trans locus causes a ribosomopathy in hypertrophic hearts that affects mRNA translation in a protein length-dependent fashion. Genome Biology 22 (1), 191 (2021)

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Gajos, M.; Jasnovidova, O.; van Bömmel, A.; Freier, S.; Vingron, M.; Mayer, A.: Conserved DNA sequence features underlie pervasive RNA polymerase pausing. Nucleic Acids Research (London) 49 (8), pp. 4402 - 4420 (2021)

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ZIP

Benner, P.: Computing Leapfrog Regularization Paths with Applications to Large-Scale K-mer Logistic Regression. Journal of Computational Biology 28 (6), pp. 560 - 569 (2021)

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Barel, G.: Network Propagation with Node Core for Genotype-Phenotype Associations and Module Identification. Dissertation, xii, 161 pp. (2021)

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Zehnder, T.: Computational Approaches for the Prediction of Gene Regulatory Elements and the Analysis of their Evolutionary Conservation. Dissertation, vii, 155 pp. (2021)

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Allou, L.; Balzano, S.; Magg, A.; Quinodoz, M.; Royer-Bertrand, B.; Schöpflin, R.; Chan, W.-L.; Speck-Martins, C. E.; Rocha Carvalho, D.; Farage, L. et al.; Marques Lourenço, C.; Albuquerque, R.; Rajagopal, S.; Nampoothiri, S.; Campos-Xavier, B.; Chiesa, C.; Niel-Bütschi, F.; Wittler, L.; Timmermann, B.; Spielmann, M.; Robson, M.; Ringel, A.; Heinrich, V.; Cova, G.; Andrey , G.; Prada-Medina, C. A.; Pescini-Gobert, R.; Unger, S.; Bonafé, L.; Grote, P.; Rivolta, C.; Mundlos, S.; Superti-Furga, A.: Non-coding deletions identify Maenli lncRNA as a limb-specific En1 regulator. Nature 592 (7852), pp. 93 - 98 (2021)

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Heller, D.: Structural variant calling using third-generation sequencing data. Dissertation, xiii, 139 pp. (2021)

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2020

Heller, D.; Vingron, M.: SVIM-asm: structural variant detection from haploid and diploid genome assemblies. Bioinformatics 36 (22-23), pp. 5519 - 5521 (2020)

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Real, F. M.; Haas, S. A.; Franchini, P.; Xiong, P.; Simakov, O.; Kuhl, H.; Schöpflin, R.; Heller, D.; Moeinzadeh, M. H.; Heinrich, V. et al.; Krannich , T.; Bressin, A.; Hartmann, M. F.; Wudy, S. A.; Dechmann, D. K. N.; Hurtado, A.; Barrionuevo, F. J.; Schindler, M.; Harabula, I.; Osterwalder, M.; Hiller, M.; Wittler, L.; Visel, A.; Timmermann, B.; Meyer, A.; Vingron, M.; Jiménez, R.; Mundlos, S.; Lupiáñez, D. G.: The mole genome reveals regulatory rearrangements associated with adaptive intersexuality. Science 370 (6513), pp. 208 - 214 (2020)

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Melo, U. S.; Schöpflin, R.; Acuna-Hidalgo, R.; Mensah, M. A.; Fischer-Zirnsak, B.; Holtgrewe, M.; Klever, M.-K.; Türkmen, S.; Heinrich, V.; Datkhaeva Pluym, I. et al.; Matoso, E.; de Sousa, S. B.; Louro, P.; Hülsemann, W.; Cohen, M.; Dufke, A.; Latos-Bieleńska, A.; Vingron, M.; Kalscheuer, V.; Quintero-Rivera, F.; Spielmann, M.; Mundlos, S.: Hi-C Identifies Complex Genomic Rearrangements and TAD-Shuffling in Developmental Diseases. The American Journal of Human Genetics 106 (6), pp. 872 - 884 (2020)

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Moeinzadeh, M.-H.; Yang, Jun; Muzychenko, E.; Gallone, G.; Heller, D.; Reinert, K.; Haas, S.; Vingron, M.: Ranbow: A fast and accurate method for polyploid haplotype reconstruction. PLOS Computational Biology 16 (5), e1007843 (2020)

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Pockrandt, C. M.; Alzamel, M.; Iliopoulos, C. S.; Reinert, K.: GenMap: Ultra-fast Computation of Genome Mappability. Bioinformatics 36 (12), pp. 3687 - 3692 (2020)

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Benner, P.; Vingron, M.: ModHMM: A Modular Supra-Bayesian Genome Segmentation Method. Journal of Computational Biology 27 (4), pp. 442 - 457 (2020)

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Herkt, C. E.; Caffrey, B.; Surmann, K.; Blankenburg, S.; Gesell Salazar, M.; Jung, A. L.; Herbel, S. M.; Hoffmann, K.; Schulte, L. N.; Chen, W. et al.; Sittka-Stark, A.; Völker, U.; Vingron, M.; Marsico, A.; Bertrams, W.; Schmeck, B.: A MicroRNA Network Controls Legionella pneumophila Replication in Human Macrophages via LGALS8 and MX1. mBio 11 (2), e03155-19 (2020)

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Kupke, S. Y.; Ly, L.-H.; Börno, S. T.; Ruff, A.; Timmermann, B.; Vingron, M.; Haas, S.: Single-Cell Analysis Uncovers a Vast Diversity in Intracellular Viral Defective Interfering RNA Content Affecting the Large Cell-to-Cell Heterogeneity in Influenza A Virus Replication. Viruses 12 (1), 71 (2020)

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Sliwa, P.: Heuristic Approaches To Conditional Independence Test Using Partial Distance Correlation. Master (2020)

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2019

Ramisch, A.; Heinrich, V.; Glaser, L. V.; Fuchs, A.; Yang, X.; Benner, P.; Schöpflin, R.; Li, N.; Kinkley, S.; Römer-Hillmann, A. et al.; Longinotto, J.; Heyne, S.; Czepukojc, B.; Kessler, S. M.; Kiemer, A. K.; Cadenas, C.; Arrigoni, L.; Gasparoni, N.; Manke, T.; Pap, T.; Pospisilik, A.; Hengstler, J.; Walter, J.; Meijsing, S.; Chung, H.-R.; Vingron, M.: CRUP: a comprehensive framework to predict condition-specific regulatory units. Genome Biology: Biology for the Post-Genomic Era 20 (1), 227 (2019)

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Heller, D.; Vingron, M.: SVIM: Structural Variant Identification using Mapped Long Reads. Bioinformatics 35 (17), pp. 2907 - 2915 (2019)

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Kopp, W.; Vingron, M.: DNA Motif Match Statistics Without Poisson Approximation. Journal of Computational Biology 26 (8), pp. 846 - 865 (2019)

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Despang, A.; Schöpflin, R.; Franke, M.; Ali, S.; Jerković, I.; Paliou, C.; Chan, W.-L.; Timmermann, B.; Wittler, L.; Vingron, M. et al.; Mundlos, S.; Ibrahim, D. M.: Functional dissection of the Sox9-Kcnj2 locus identifies nonessential and instructive roles of TAD architecture. Nature Genetics 51 (8), pp. 1263 - 1271 (2019)

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Moeinzadeh, M.: De novo and haplotype assembly of polyploid genomes. Dissertation, vii, 157 pp. (2019)

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van Heesch, S.; Witte, F.; Schneider-Lunitz, V.; Schulz, J. F.; Adami, E.; Faber, A. B.; Kirchner, M.; Maatz, H.; Blachut, S.; Sandmann, C. L. et al.; Kanda, M.; Worth, C. L.; Schafer, S.; Calviello, L.; Merriott, R.; Patone, G.; Hummel, O.; Wyler, E.; Obermayer, B.; Mucke, M. B.; Lindberg, E. L.; Trnka, F.; Memczak, S.; Schilling, M.; Felkin, L. E.; Barton, P. J. R.; Quaife, N. M.; Vanezis, K.; Diecke, S.; Mukai, M.; Mah, N.; Oh, S. J.; Kurtz, A.; Schramm, C.; Schwinge, D.; Sebode, M.; Harakalova, M.; Asselbergs, F. W.; Vink, A.; de Weger, R. A.; Viswanathan, S.; Widjaja, A. A.; Gartner-Rommel, A.; Milting, H.; Dos Remedios, C.; Knosalla, C.; Mertins, P.; Landthaler, M.; Vingron, M.; Linke, W. A.; Seidman, J. G.; Seidman, C. E.; Rajewsky, N.; Ohler, U.; Cook, S. A.; Hubner, N.: The Translational Landscape of the Human Heart. Cell 178 (1), pp. 242 - 260 (2019)

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Ramisch, A.: Enhancer Prediction Based on Epigenomic Data. Dissertation, iv, 186 pp. (2019)

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Paliou, C.; Guckelberger, P.; Schöpflin, R.; Heinrich, V.; Esposito, A.; Chiariello, A. M.; Bianco, S.; Annunziatella, C.; Helmuth, J.; Haas, S. et al.; Jerković, I.; Brieske, N.; Wittler, L.; Timmermann, B.; Nicodemi, M.; Vingron, M.; Mundlos, S.; Andrey, G.: Preformed Chromatin Topology Assists Transcriptional Robustness of Shh during Limb Development. Proceedings of the National Academy of Sciences of the United States of America 116 (25), pp. 12390 - 12399 (2019)

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supplementary-material

Mallm, J. P.; Iskar, M.; Ishaque, N.; Klett, L. C.; Kugler, S. J.; Muino, J. M.; Teif, V. B.; Poos, A. M.; Grossmann, S.; Erdel, F. et al.; Tavernari, D.; Koser, S. D.; Schumacher, S.; Brors, B.; Konig, R.; Remondini, D.; Vingron, M.; Stilgenbauer, S.; Lichter, P.; Zapatka, M.; Mertens, D.; Rippe, K.: Linking aberrant chromatin features in chronic lymphocytic leukemia to transcription factor networks. Molecular Systems Biology 15 (5), e8339 (2019)

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Pockrandt, C. M.: Approximate String Matching: Improving Data Structures and Algorithms. Dissertation, 175 pp. (2019)

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Zehnder, T.; Benner, P.; Vingron, M.: Predicting enhancers in mammalian genomes using supervised hidden Markov models. BMC Bioinformatics 20 (1), 157 (2019)

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Ghanbari, M.; Lasserre, J.; Vingron, M.: The Distance Precision Matrix: computing networks from non-linear relationships. Bioinformatics 35 (6), pp. 1009 - 1017 (2019)

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Despang, A.; Schöpflin, R.; Franke, M.; Ali, S.; Jerkovic, I.; Paliou, C.; Chan, W.-L.; Timmermann, B.; Wittler, L.; Vingron, M. et al.; Mundlos, S.; Ibrahim, D. M.: Functional dissection of TADs reveals non-essential and instructive roles in regulating gene expression. bioRxiv (2019)

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Kraft, K.; Magg, A.; Heinrich, V.; Riemenschneider, C.; Schöpflin, R.; Markowski, J.; Ibrahim, D.; Acuna-Hidalgo, R.; Despang, A.; Andrey, G. et al.; Wittler, L.; Timmermann, B.; Vingron, M.; Mundlos, S.: Serial genomic inversions induce tissue-specific architectural stripes, gene misexpression and congenital malformations. Nature Cell Biology 21 (3), pp. 305 - 310 (2019)

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2018

Adachi, K.; Kopp, W.; Wu, G.; Heising, S.; Greber, B.; Stehling, M.; Araúzo-Bravo, M. J.; Boerno, S. T.; Timmermann, B.; Vingron, M. et al.; Schöler, H. R.: Esrrb Unlocks Silenced Enhancers for Reprogramming to Naive Pluripotency - Correction. Cell Stem Cell 23 (6), pp. 900 - 904 (2018)

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Yang, X.; Vingron, M.: Classifying human promoters by occupancy patterns identifies recurring sequence elements, combinatorial binding, and spatial interactions. BMC Biology 16 (1), 138 (2018)

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Schöne, S.; Bothe, A. M.; Einfeldt, E.; Borschiwer, M.; Benner, P. F.; Vingron, M.; Thomas-Chollier, M.; Meijsing, S. H.: Synthetic STARR-seq reveals how DNA shape and sequence modulate transcriptional output and noise. PLoS Genetics 14 (11), e1007793 (2018)

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Kragesteen , B. K.; Spielmann, M.; Paliou, C.; Heinrich, V.; Schöpflin, R.; Esposito, A.; Annunziatella, C.; Bianco , S.; Chiariello, A. M.; Jerković , I. et al.; Harabula, I.; Guckelberger, P.; Pechstein, M.; Wittler, L.; Chan, W.-L.; Franke, M.; Lupiáñez , D. G.; Kraft, K.; Timmermann, B.; Vingron, M.; Visel, A.; Nicodemi, M.; Mundlos, S.; Andrey, G.: Dynamic 3D chromatin architecture determines enhancer specificity and morphogenetic identity in limb development. Nature Genetics 50 (10), pp. 1463 - 1473 (2018)

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supplementary-material

Grassi, L.; Pourfarzad, F.; Ullrich, S.; Merkel, A.; Were, F.; Carrillo-de-Santa-Pau, E.; Yi, G.; Hiemstra, I. H.; Tool, A. T. J.; Mul, E. et al.; Perner, J.; Janssen-Megens, E.; Berentsen, K.; Kerstens, H.; Habibi, E.; Gut, M.; Yaspo, M. L.; Linser, M.; Lowy, E.; Datta, A.; Clarke, L.; Flicek, P.; Vingron, M.; Roos, D.; van den Berg, T. K.; Heath, S.; Rico, D.; Frontini, M.; Kostadima, M.; Gut, I.; Valencia, A.; Ouwehand, W. H.; Stunnenberg, H. G.; Martens, J. H. A.; Kuijpers, T. W.: Dynamics of Transcription Regulation in Human Bone Marrow Myeloid Differentiation to Mature Blood Neutrophils. Cell Reports 24 (10), pp. 2784 - 2794 (2018)

MPG.PuRe

van Bömmel, A.; Love, M. I.; Chung, H.-R.; Vingron, M.: coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers. PLoS Computational Biology 14 (8), e1006372 (2018)

MPG.PuRe

Adachi, K.; Kopp, W.; Wu, G.; Heising, S.; Greber, B.; Stehling , M.; Araúzo-Bravo, M. J.; Boerno, S. T.; Timmermann, B.; Vingron, M. et al.; Schöler, H. R.: Esrrb Unlocks Silenced Enhancers for Reprogramming to Naive Pluripotency. Cell Stem Cell 23 (2), pp. 266 - 275 (2018)

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Grasse, S.; Lienhard, M.; Frese, S.; Kerick, M.; Steinbach, A.; Grimm, C.; Hussong, M.; Rolff, J.; Becker, M.; Dreher, F. et al.; Schirmer, U.; Boerno, S. T.; Ramisch, A.; Leschber, G.; Timmermann, B.; Grohé, C.; Lüders, H.; Vingron, M.; Fichtner, I.; Klein, S.; Odenthal, M.; Büttner, R.; Lehrach, H.; Sültmann, H.; Herwig, R.; Schweiger, R. M.: Epigenomic profiling of non-small cell lung cancer xenografts uncover LRP12 DNA methylation as predictive biomarker for carboplatin resistance. Genome Medicine 10 (1), 10:55 (2018)

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Steiger, E.: Efficient Sparse-Group Bayesian Feature Selection for Gene Network Reconstruction. Dissertation, Freie Universität, Berlin (2018)

MPG.PuRe

Bianco, S.; Lupiáñez, D. G.; Chiariello, A. M.; Annunziatella, C.; Kraft, K.; Schöpflin, R.; Wittler, L.; Andrey, G.; Vingron, M.; Pombo, A. et al.; Mundlos, S.; Nicodemi, M.: Polymer physics predicts the effects of structural variants on chromatin architecture. Nature Genetics 50 (5), pp. 662 - 667 (2018)

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Thormann, V.; Rothkegel, M. C.; Schöpflin, R.; Glaser, L. V.; Djuric, P.; Li, N.; Chung, H.-R.; Schwahn, K.; Vingron, M.; Meijsing, S.: Genomic dissection of enhancers uncovers principles of combinatorial regulation and dynamic wiring of enhancer-promoter contacts. Nucleic Acids Research (London) 46 (6), pp. 2868 - 2882 (2018)

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